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28,428 Article Results

A Novel Membrane Clustering Algorithm Based on Tissue-like P System

10.11591/ijeecs.v2.i2.pp409-416
Yan Huaning , Xiang Laisheng , Liu Xiyu , Xue Jie
Clustering is a process of partitioning data points into different clusters due to their similarity, as a powerful technique of data mining, clustering is widely used in many fields. Membrane computing is a computing model abstracting from the biological area, these computing systems are proved to be so powerful that they are equivalent with Turing machines. In this paper, a modified inversion particle swarm optimization was proposed, this method and the mutational mechanism of genetics algorithm were used to combine with the tissue-like P system, through these evolutionary algorithms and the P system, the idea of a novel membrane clustering algorithm could come true. Experiments were tested on six data sets, by comparing the clustering quality with the GA-K-means, PSO-K-means and K-means proved the superiority of our method.
Volume: 2
Issue: 2
Page: 409-416
Publish at: 2016-05-01

Lifetime Prolonging for Clustered Heterogeneous Wireless Sensor Networks by SEP-FUZZY

10.11591/ijeecs.v2.i2.pp380-389
Basim Abood , Muhammed Shemyal Nisar , Aliaa Hussien , Yu Li
The most important consideration in designing protocols for wireless sensor networks is the energy constraint of nodes because in most cases battery recharging is inconvenient or impossible. Therefore, many researches have been done to overcome this demerit. Clustering is one of the main approaches in designing scalable and energy-efficient protocols for WSNs.In this paper, we proposed a novel scheme to investigate the cluster, the Fuzzy Logic Cluster Stable Election Protocol (SEP - FUZZY), which uses Fuzzy Logic Inference System (FIS) in the cluster process. We compare our technique with two approaches (LEACH, and SEP) to show that using a multi parameter FIS enhances the network lifetime significantly. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly 27% more than that obtained by LEACH protocol, and by nearly 23% more than that obtained by Stable Election Protocol.
Volume: 2
Issue: 2
Page: 380-389
Publish at: 2016-05-01

Capacitor Voltage Balancing of Five Level Diode Clamped Converter based STATCOM

10.11591/ijeecs.v2.i2.pp259-267
D. Sindhuja , V. Yuvaraju M.E.
The power quality determines the fitness of the electrical power to the consumer devices. To improve the quality of the power delivered many compensating devices are used. The FACTS devices are normally used to reduce the power quality problems by inducing one or more AC transmission parameters. The static synchronous compensator (STATCOM) can act as either a source or sink of reactive AC power to an electricity network. The basic electronic block of the STATCOM is the voltage-source inverter that converts an input dc voltage into a three-phase output voltage. The STATCOM employs an inverter in order to obtain the voltage source of adjustable magnitude and phase from the DC link voltage on the capacitor. In this model, the STATCOM is designed with the five level diode clamped converter (DCC) controlled by space vector pulse width modulation (SVPWM) technique. The space vector technique with α, β frame is referred here. The dc link capacitor voltage equalization for the five level diode clamped converter was explained. The Total Harmonic Distortion of the source current will be considerably reduced.
Volume: 2
Issue: 2
Page: 259-267
Publish at: 2016-05-01

Speech Enhancement based on Wiener Filter and Compressive Sensing

10.11591/ijeecs.v2.i2.pp367-379
Amart Sulong , Teddy Surya Gunawan , Othman O. Khalifa , Mira Kartiwi , Eliathamby Ambikairajah
In the last few decades, many advanced technologies have been proposed, in which communications played a great role as well as telecommunications applications. The noise elimination in various environments became the most concerned as it greatly hindered the speech communication applications. The improvement of noisy speech interms of quality and intelligibility are taken into account without introducingany additional noise. Many speech enhancement algorithms have been proposed. Wiener filter is one of the classical algorithm that improve the noisy speech by reducing its noise components through selectively chosen Wiener gain. In this paper, compressive sensing method by randomize measurement matrix is combined with the Wiener filter to reduce the noisy speech signal to produce high signal to noise ratio. The PESQ is used to measure the quality of the proposed algorithm design. Experimental results showthe effectiveness of our proposed algorithm to enhance noisy signals corrupted by various noises compared to other traditional algorithms, in which high PESQ scores were achieved across various noises and different SNRs.
Volume: 2
Issue: 2
Page: 367-379
Publish at: 2016-05-01

Experimental Multipath Delay Profile of Underwater Acoustic Communication Channel in Shallow Water

10.11591/ijeecs.v2.i2.pp351-358
Yasin Yousif Al_Aboosi , Ahmad Zuri Sha'ameri
The shallow water channel is an environment that is of particular interest to many research fields. An underwater acoustic channel is characterized as a multipath channel. Time-varying multipath propagation is one of the major factors that limit the acoustic communication performance in shallow water. This study conducts two underwater acoustic experiments in Tanjung Balau, Johor, Malaysia. A transducer and a hydrophone are submerged at different depths and separated by different distances. Linear frequency modulated (LFM) pulses are chosen as the main transmit signal for the experiments. The cross-correlation between the transmitted and received signals represents the impulse response of the channel (multipath profile). The results show that the amplitude of the successive paths will not rapidly decline, and vice versa, when the distance between the sender and the receiver increases. Moreover, the time difference between the different paths will be small in the case of distance increase. In other words, the successive paths will converge in time.
Volume: 2
Issue: 2
Page: 351-358
Publish at: 2016-05-01

Ensuring Data Integrity Scheme Based on Digital Signature and Iris Features in Cloud

10.11591/ijeecs.v2.i2.pp452-460
Salah H. Abbdal , Thair A. Kadhim , Zaid Ameen Abduljabbar , Zaid Alaa Hussien , Ali A. Yassin , Mohammed Abdulridha Hussain , Salam Waley
Cloud computing is a novel paradigm that allows users to remotely access their data through web- based tools and applications. Later, the users do not have the ability to monitor or arrange their data. In this case, many security challenges have been raised. One of these challenges is data integrity. Contentiously, the user cannot access his data directly and he could not know whether his data is modified or not. Therefore, the cloud service provider should provide efficient ways for the user to ascertain whether the integrity of his data is protected or compromised. In this paper, we focus on the problem of ensuring the integrity of data stored in the cloud. Additionally, we propose a method which combines biometric and cryptography techniques in a cost-effective manner for data owners to gain trust in the cloud. We present efficient and secure integrity based on the iris feature extraction and digital signature.  Iris recognition has become a new, emergent approach to individual identification in the last decade. It is one of the most accurate identity verification systems. This technique gives the cloud user more confidence in detecting any block that has been changed. Additionally, our proposed scheme employs user’s iris features to secure and integrate data in a manner difficult for any internal or external unauthorized entity to take or compromise it. Iris recognition is an internal organ that is well protected against damage and wear by a highly transparent and sensitive membrane. Extensive security and performance analysis show that our proposed scheme is highly efficient and provably secure.
Volume: 2
Issue: 2
Page: 452-460
Publish at: 2016-05-01

Development of a Decision-Making System for Sultan Moulay Slimane University in Beni Mellal, Morocco

10.11591/ijeecs.v2.i2.pp469-477
Abdellah Amine , Rachid Ait Daoud , Belaid Bouikhalene
The issue dealt with in this article is to develop a decision-making information system related to the digital environment of the University work. We propose to model the data within the university in order to transform a system of information into a decision-making information system, that is based on the trades databases oriented toward the actors. A decision-making information is a system that allows the decision makers of the university to have relevant information and powerful analytical tools to help them take the right decision at the right time.
Volume: 2
Issue: 2
Page: 469-477
Publish at: 2016-05-01

An Effective Noise Adaptive Median Filter for Removing High Density Impulse Noises in Color Images

10.11591/ijece.v6i2.pp611-620
S. Abdul Saleem , T. Abdul Razak
Images are normally degraded by some form of impulse noises during the acquisition, transmission and storage in the physical media. Most of the real time applications usually require bright and clear images, hence distorted or degraded images need to be processed to enhance easy identification of image details and further works on the image. In this paper we have analyzed and tested the number of existing median filtering algorithms and their limitations. As a result we have proposed a new effective noise adaptive median filtering algorithm, which removes the impulse noises in the color images while preserving the image details and enhancing the image quality. The proposed method is a spatial domain approach and uses the 3×3 overlapping window to filter the signal based on the correct selection of neighborhood values to obtain the effective median per window. The performance of the proposed effective median filter has been evaluated using MATLAB, simulations on a both gray scale and color images that have been subjected to high density of corruption up to 90% with impulse noises. The results expose the effectiveness of our proposed algorithm when compared with the quantitative image metrics such as PSNR, MSE, RMSE, IEF, Time and SSIM of existing standard and adaptive median filtering algorithms.
Volume: 6
Issue: 2
Page: 611-620
Publish at: 2016-04-01

A cognitive approach for evaluating the usability of Storage as a Service in Cloud Computing Environment

10.11591/ijece.v6i2.pp759-769
Sharmistha Roy , Prasant Kumar Pattnaik , Rajib Mall
Cloud computing is a style of computing which thrives users requirements by delivering scalable, on-demand and pay-per-use IT services. It offers different service models, out of which Storage as a Service (StaaS) is the fundamental block of Infrastructure cloud that fulfills user’s excess demand of elastic computing resources.  But considering the competitive business scenario choosing the best cloud storage provider is a difficult task. Thus, usability is considered to be the key performance indicator which evaluates the better cloud storage based on user’s satisfaction. This paper aims to focus on the usability evaluation of StaaS providers namely Google drive, Drop box and One drive. This paper proposed a fuzzy based AHP model for measuring user satisfaction. Usability evaluation is carried out based on user feedback through Interview and Questionnaire method. Analysis of user feedback is done based on the fuzzy approach in order to remove vaguness. Whereas, AHP model is used for measuring satisfaction degree of the different cloud storage services and it solves the problem of selecting best cloud storage.
Volume: 6
Issue: 2
Page: 759-769
Publish at: 2016-04-01

Influence of Gate Material and Process on Junctionless FET Subthreshold Performance

10.11591/ijece.v6i2.pp895-900
Munawar A Riyadi , Irawan D Sukawati , Teguh Prakoso , Darjat Darjat
The recent progress of dimension scaling of electronic device into nano scale has motivated the invention of alternative materials and structures. One new device that shows great potential to prolong the scaling is junctionless FET (JLFET). In contrast to conventional MOSFETs, JLFET does not require steep junction for source and drain. The device processing directly influence the performance, therefore it is crucial to understand the role of gate processing in JLFET. This paper investigates the influence of gate material and process on subthreshold performance of junctionless FET, by comparing four sets of gate properties and process techniques. The result shows that in terms of subthreshold slope, JLFET approaches near ideal value of 60 mV/decade, which is superior than the SOI FET for similar doping rate. On the other hand, the threshold value shows different tendencies between those types of device.
Volume: 6
Issue: 2
Page: 895-900
Publish at: 2016-04-01

New Electromagnetic Force-Displacement Sensor

10.11591/ijece.v6i2.pp560-566
Amine Benabdellah , Zakarya Abbassi , Abdelrhani Nakheli
A new electromagnetic force-displacement sensor is presented. Its operating principle is based on the fundamental laws of electromagnetism (Faraday-Lenz law) and the mechanical properties of a spring. The active elements are two coils made by a wire of 60 µm in diameter. Using different wire diameters or different number of wire turns in the coil modify the intensity of the magnetic field and the sensor response. The average accuracy of the sensor is about ∆d=1µm, and as a force sensor is about ∆F=1µN. This sensor could be successfully used for the manufacture of several measuring instruments.
Volume: 6
Issue: 2
Page: 560-566
Publish at: 2016-04-01

Advancement in Research Techniques on Medical Imaging Processing for Breast Cancer Detection

10.11591/ijece.v6i2.pp717-724
Sushma S J , S C Prasanna Kumar
With the advancement of medical image processing, the area of the healthcare sector has started receiving the benefits of the modern arena of diagnostic tools to identify the diseases effectively. Cancer is one of the dreaded diseases, where success factor of treatment offered by medical sector is still an unsolved problem. Hence, the success factor of the treatment lies in early stage of the disease or timely detection of the disease. This paper discusses about the advancement being made in the medical image processing towards an effective diagnosis of the breast cancer from the mammogram image in radiology. There has been enough research activity with various sorts of advances techniques being implemented in the past decade. The prime contribution of this manuscript is to showcase the advancement of the technology along with illustration of the effectiveness of the existing literatures with respect to research gap.
Volume: 6
Issue: 2
Page: 717-724
Publish at: 2016-04-01

Use of Photovoltaics in Microgrid as Energy Source and Control Method Using MATLAB/SIMULINK

10.11591/ijece.v6i2.pp851-858
Sumaiya Rahman , Hasimah Abdul Rahman
Microgrid in power system has drawn wide attention due to its significant benefits in terms of sustainable energy system in recent years. This approach is the most economical alternative to conventional energy system which uses Renewable Energy (RE) resources. RE sources ensure pollution free and clean environment by emitting zero CO2. This paper proposes a design of a microgrid system using solar photovoltaics (PV) as the Distributed Energy Resources (DERs) and a controlling method for managing the components of microgrid by using MATLAB/SIMULINK. The results show that microgrid system is promising as alternative to replace the fossil fuel based energy system. Integration of an effective controller can help to manage the loads and resources, resulting in more stable and reliable. 
Volume: 6
Issue: 2
Page: 851-858
Publish at: 2016-04-01

New design of Network on Chip Based on Virtual Routers

10.11591/ijeecs.v2.i1.pp115-131
Mohamed Fehmi Chatmen , Adel Baganne , Rached Tourki
Network is considered the most convenient way to communicate between different IP integrated into the same chip. Studies have been developed to propose networks with improved performance in terms of latency, power consumption, throughput and quality of service. Most of these networks have been designed based on the 2-dimensional network structure. Recently, with the introduction of the new structure of 3D integrated circuits (3D IC), new works have used this type of circuit to design 3 dimensions on-chip networks. The advantage brought by this new structure is to reduce the average number of hops crossed from the source to the destination, which improves the throughput and the average latency of the network.
Volume: 2
Issue: 1
Page: 115-131
Publish at: 2016-04-01

A New Electrode Regulator System Identification of Arc Furnace Based on Time-Variant Nonlinear-Linear-Nonlinear Model

10.11591/ijeecs.v2.i1.pp32-39
Jinfeng Wang , Shoulin Yin , Xueying Wang
In this paper, we express arc furnace electrode regulator system as a time-variant nonlinear-linear-nonlinear model. On this basis, we propose an online identification method based on nonlinear-linear-nonlinear model system. This new scheme solves the problem of model variation and prediction precision decline causing by time-varying of arc characteristic. In order to dispose the difficulty of parameters separation in the online identification process, this new method adopts the mind of update the parameters of linear parts and nonlinear parts respectively. It realizes the parameters separation of system effectively. Simulation results show that this method can track the changes of arc characteristics effectively. That it achieves the aim of real-time monitoring and controlling system parameters.
Volume: 2
Issue: 1
Page: 32-39
Publish at: 2016-04-01
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